MIT spinout Zylotech raises $5.5M to accelerate AI-driven marketing

Zylotech, which offers AI-driven customer analytics for marketers, secured a $5.5 million investment on Tuesday to build out its sales and marketing teams, as well as focus on product development.

Written by Justine Hofherr
Published on Oct. 30, 2018
MIT spinout Zylotech raises $5.5M to accelerate AI-driven marketing
zylotech
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MIT spinout Zylotech is growing — and fast.

The startup, which offers AI-driven customer analytics for marketers, secured a $5.5 million investment on Tuesday to build out its sales and marketing teams, as well as focus on product development.

Early-stage venture capital firm Glasswing Ventures led the round, with participation from Geekdom, Revel Partners and Rubicon Ventures.

Abhi Yadav, founder and CEO of Zylotech, said the company currently employs 18 people and is hiring for numerous positions across sales, marketing and engineering.

We are addressing the challenge of extracting insights from siloed data head-on.”

Over the course of the next year, Yadav said his biggest goal for the company is to triple or quadruple its growth rate in new customers with a strong focus on direct-to-consumer markets.

Zylotech currently serves dozens of enterprise clients, helping their marketers attract and retain customers through its “self-learning” customer data platform, which continuously unifies data and offers personalized recommendations.

“We are addressing the challenge of extracting insights from siloed data head-on by using AI to provide marketers with the timely intelligence they need for 1-to-1 personalization at scale,” Yadav said in a statement.

In tandem with the funding announcement, the company also announced that Rudina Seseri, founder and managing partner of Glasswing Ventures, has joined Zylotech’s board of directors.

“The intersection of AI, marketing and customer intelligence is a heated battleground and we are championing Zylotech because they are positioned to win,” Seseri said in a statement. “Zylotech uses AI marketing and automated machine learning to apply hyper-personalization and integration across massive amounts of data and devices — delivering actionable information to the hands of marketers so they can truly understand their prospects and customers.”

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